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High-Efficiency Methane Production via Electrochemical CO2 Reduction in Aqueous Bicarbonate Systems

2023· article· en· W4392704859 on OpenAlexaff
Viktoria Golovanova, Cornelius A. Obasanjo, Guorui Gao, Jackson Crane, F. Pelayo Garcı́a de Arquer, Cao‐Thang Dinh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsQueen's University
Fundersnot available
KeywordsBicarbonateMethaneReduction (mathematics)Aqueous solutionElectrochemistryProduction (economics)ChemistryElectrodeMathematicsOrganic chemistry

Abstract

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High-Efficiency Methane Production via Electrochemical CO2 Reduction in Aqueous Bicarbonate SystemsViktoria Golovanova a, Cornelius Obasanjo b, Guorui Gao b, Jackson Crane b, F. Pelayo García de Arquer a, Cao-Thang Dinh ba ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, 08860, Castelldefels, Spainb Department of Chemical Engineering, Queen's University, Kingston, ON K7L 3N6, CanadaMaterials for Sustainable Development Conference (MATSUS)Proceedings of MATSUS Spring 2024 Conference (MATSUS24)#MatInter - Materials and Interfaces for emerging electrocatalytic reactionsBarcelona, Spain, 2024 March 4th - 8thOrganizers: Marta Costa Figueiredo and María Escudero-EscribanoOral, Viktoria Golovanova, presentation 227DOI: https://doi.org/10.29363/nanoge.matsus.2024.227Publication date: 18th December 2023The urgent need for large-scale renewable energy storage and carbon mitigation strategies calls for efficient methods of converting carbon dioxide (CO­­2) into valuable hydrocarbon fuels1. Among these, methane (CH4) holds particular promise due to its high energy density and compatibility with existing infrastructure. Electrochemical CO2 reduction (CO2R) to CH4 offers a direct pathway to decarbonize natural gas, but practical applications require high current densities, selectivity, and energy efficiency [1,2]. In this study, we present a novel approach to enhance CH4 production via CO2R in aqueous bicarbonate systems [3]. Our research addresses the limitations of previous systems and introduces a paradigm shift in CO2 electroreduction. We leverage the benefits of large-pore Cu electrodes, which facilitate the transport of dissolved CO2 and promote efficient bicarbonate conversion into CO2. This architectural innovation results in high local CO2 concentrations crucial for CH4 selectivity. Furthermore, we introduce an in-situ Cu activation strategy achieved through alternating current operation. This activation method not only generates, but also maintains a highly selective Cu catalyst surface, favoring CH4 production over hydrogen evolution. Our aqueous-fed system achieves remarkable CH4 Faradaic efficiencies, exceeding 70% across a wide current density range (100–750 mA cm-2), and maintains stability for at least 12 hours at 500 mA cm-2. Importantly, our system also demonstrates the highest CH4 product concentration, compared to previous CO2-to-CH4 systems. These findings open new avenues for the large-scale production of CH4 via CO2R, with implications for renewable energy storage and the reduction of greenhouse gas emissions. We believe our innovative approach paves the way for practical and sustainable CH4 production from CO2, contributing to the global effort to combat climate change. References:[1] De Luna, P., Hahn, C., Higgins, D., Jaffer, S.A., Jaramillo, T.F., and Sargent, E.H. (2019). What would it take for renewably powered electrosynthesis to displace petrochemical processes? Science (1979) 364.[2] Kibria, M.G., Edwards, J.P., Gabardo, C.M., Dinh, C.T., Seifitokaldani, A., Sinton, D., and Sargent, E.H. (2019). Electrochemical CO2 Reduction into Chemical Feedstocks: From Mechanistic Electrocatalysis Models to System Design. Advanced Materials 31[3] Obasanjo, C.A., Gao, G., Crane, J., Golovanova V., Garcia de Arquer F. P., Dinh C.-T., High-rate and selective conversion of CO2 from aqueous solutions to hydrocarbons. Nat Commun 14, 3176 (2023)© FUNDACIO DE LA COMUNITAT VALENCIANA SCITOnanoGe is a prestigious brand of successful science conferences that are developed along the year in different areas of the world since 2009. Our worldwide conferences cover cutting-edge materials topics like perovskite solar cells, photovoltaics, optoelectronics, solar fuel conversion, surface science, catalysis and two-dimensional materials, among many others.nanoGe Fall MeetingnanoGe Fall Meeting (NFM) is a multiple symposia conference celebrated yearly and focused on a broad set of topics of advanced materials preparation, their fundamental properties, and their applications, in fields such as renewable energy, photovoltaics, lighting, semiconductor quantum dots, 2-D materials synthesis, charge carriers dynamics, microscopy and spectroscopy semiconductors fundamentals, etc.nanoGe Spring MeetingThis conference is a unique series of symposia focused on advanced materials preparation and fundamental properties and their applications, in fields such as renewable energy (photovoltaics, batteries), lighting, semiconductor quantum dots, 2-D materials synthesis and semiconductors fundamentals, bioimaging, etc.International Conference on Hybrid and Organic PhotovoltaicsInternational Conference on Hybrid and Organic Photovoltaics (HOPV) is celebrated yearly in May. The main topics are the development, function and modeling of materials and devices for hybrid and organic solar cells. The field is now dominated by perovskite solar cells but also other hybrid technologies, as organic solar cells, quantum dot solar cells, and dye-sensitized solar cells and their integration into devices for photoelectrochemical solar fuel production.Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and OptoelectronicsThe main topics of the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics (IPEROP) are discussed every year in Asia-Pacific for gathering the recent advances in the fields of material preparation, modeling and fabrication of perovskite and hybrid and organic materials. Photovoltaic devices are analyzed from fundamental physics and materials properties to a broad set of applications. The conference also covers the developments of perovskite optoelectronics, including light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and OptoelectronicsThe International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and Optoelectronics (NIPHO) is the best place to hear the latest developments in perovskite solar cells as well as on recent advances in the fields of perovskite light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.240
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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